Identification of Downhole Conditions in Sucker Rod Pumped Wells Using Deep Neural Networks and Genetic Algorithms

Authors

Ramez Abdalla, American University in Cairo
Mahmoud Abu El Ela, Cairo University
Ahmed El-Banbi, American University in CairoFollow

Author's Department

Petroleum & Energy Engineering Department

Find in your Library

https://doi.org/10.2118/200494-PA

Document Type

Research Article

Publication Title

SPE Production and Operations

Publication Date

5-1-2020

doi

10.2118/200494-PA

First Page

435

Last Page

447

Recommended Citation

APA Citation

Abdalla, R. El Ela, M. & El-Banbi, A. (2020). Identification of Downhole Conditions in Sucker Rod Pumped Wells Using Deep Neural Networks and Genetic Algorithms. SPE Production and Operations, 35(2), 435–447. 10.2118/200494-PA
https://fount.aucegypt.edu/faculty_journal_articles/1490

MLA Citation

Abdalla, Ramez, et al. "Identification of Downhole Conditions in Sucker Rod Pumped Wells Using Deep Neural Networks and Genetic Algorithms." SPE Production and Operations, vol. 35,no. 2, 2020, pp. 435–447.
https://fount.aucegypt.edu/faculty_journal_articles/1490